QuizGuide: Increasing the Educational Value of Individualized Self-Assessment Quizzes with Adaptive Navigation Support

Abstract

The paper introduces QuizGuide, an adaptive system that we developed to help our students select the most relevant self-assessment quizzes. QuizGuide uses adaptive navigation support to show every student which topics are currently most important and which require further work. Despite relatively simple user modeling and adaptation techniques used in QuizGuide, the system has achieved a remarkable impact on student learning and performance. With QuizGuide the students explored more questions, worked on questions more persistently, and accessed a larger diversity of questions. This increased participation resulted in the larger increase of their knowledge at the end of the course.